Evolutionary algorithms approach to the solution of mixed integer non-linear programming problems
The global optimization of mixed integer non-linear problems (MINLP), constitutes a major area of research in many engineering applications. In this work, a comparison is made between an algorithm based on Simulated Annealing (M-SIMPSA) and two Evolutionary Algorithms: Genetic Algorithms (GAs) and E...
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| Veröffentlicht in: | Computers & chemical engineering Jg. 25; H. 2; S. 257 - 266 |
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| Sprache: | Englisch |
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15.03.2001
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| ISSN: | 0098-1354, 1873-4375 |
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| Abstract | The global optimization of mixed integer non-linear problems (MINLP), constitutes a major area of research in many engineering applications. In this work, a comparison is made between an algorithm based on Simulated Annealing (M-SIMPSA) and two Evolutionary Algorithms: Genetic Algorithms (GAs) and Evolution Strategies (ESs). Results concerning the handling of constraints, through penalty functions, with and without penalty parameter setting, are also reported. Evolutionary Algorithms seem a valid approach to the optimization of non-linear problems. Evolution Strategies emerge as the best algorithm in most of the problems studied. |
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| AbstractList | The global optimization of mixed integer non-linear problems (MINLP), constitutes a major area of research in many engineering applications. In this work, a comparison is made between an algorithm based on Simulated Annealing (M-SIMPSA) and two Evolutionary Algorithms: Genetic Algorithms (GAs) and Evolution Strategies (ESs). Results concerning the handling of constraints, through penalty functions, with and without penalty parameter setting, are also reported. Evolutionary Algorithms seem a valid approach to the optimization of non-linear problems. Evolution Strategies emerge as the best algorithm in most of the problems studied. |
| Author | Costa, Lino Oliveira, Pedro |
| Author_xml | – sequence: 1 givenname: Lino surname: Costa fullname: Costa, Lino – sequence: 2 givenname: Pedro surname: Oliveira fullname: Oliveira, Pedro email: pno@dps.uminho.pt |
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| Keywords | Mixed integer non-linear programming Evolutionary algorithms Evolution strategies Genetic algorithms |
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